Zhenghao Chen

Computer Vision and Pattern Recognition · with Koh · 2010–2011

A researcher in the Science corpus: 4 papers; trusts 70 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #7,451 of 21,575 by trust here, #7,421 by citations
• Artificial Intelligence — 30 citations into it
• Representation & Self-Supervised Learning — 24 citations into it; #3,026 of 3,145 by trust here, #982 by citations
• Probabilistic & Bayesian Methods — 13 citations into it
• Cognitive Neuroscience — 12 citations into it
• Signal Processing — 11 citations into it
• Model Architectures — 10 citations into it; #1,067 of 2,278 by trust here, #1,048 by citations
• Biophysics — 7 citations into it

Whom Zhenghao Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Radford M. Neal
5. Ruslan Salakhutdinov
6. Marc'Aurelio Ranzato
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Tijmen Tieleman
10. Hugo Larochelle

Who trusts Zhenghao Chen overall

1. Yoshua Bengio
2. Jianwen Xie
3. Erik Nijkamp
4. Song-Chun Zhu
5. Kyunghyun Cho
6. Quoc V. Le
7. Aaron C. Courville
8. Ying Nian Wu
9. Li Deng
10. Richard Socher

Papers from Zhenghao Chen's perspective

Ordered by how strongly the researchers Zhenghao Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Tiled convolutional neural networks (2010) — 352 citations
• On Random Weights and Unsupervised Feature Learning (2011) — 462 citations
• Learning Deep Energy Models (2011) — 201 citations
• Sparse Filtering (2011) — 276 citations